Multi-level risk modelling for interoperability of risk information
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(Published version)
Date
2022
Authors
Fu, Y.
Grossmann, G.
Kaur, K.
Selway, M.
Stumptner, M.
Editors
Panetto, H.
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Conference paper
Citation
IN4PL 2022 - Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics, 2022 / Panetto, H. (ed./s), pp.242-249
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3rd International Conference on Innovative Intelligent Industrial Production and Logistics (24 Oct 2022 - 26 Oct 2022 : Valletta, Malta)
Abstract
The digital transformation driven by the rise of Industry 4.0 leads to an increase use of data standards and information systems for management and decision making. With the emerging of new software ecosystems, industries are facing heterogeneous systems and a lack of interoperability for information including risk information. The lack of interoperability in risk management leads again to a slow and often incorrect information transfer, which affects the timely response to risks. In this paper, we propose a new risk modelling approach that combines existing multi-level modelling and multi-view modelling approaches to structure and hence simplify interoperability.
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Copyright 2022 SCITEPRESS - Science and Technology Publications (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Access Condition Notes: This is an open access article.